Automated Form Filling via Image Processing and Wallet Data Matching
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Solution Overview
Problem
Manual filling of forms on mobile devices with small screens and limited keyboard capabilities is tedious, and existing form-filling software requires a form template or user identification of fields for proper operation.
Innovation Solution
A system comprising a processing device and an image capturing device that processes images of printed forms to identify fill-in fields and handwritten symbols, retrieves corresponding candidate values from a data file, and generates a completed form document without needing a pre-existing template or field coordinates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If conventional form-filling software is used, then form fields can be filled automatically, but the system requires a pre-existing form template or user identification of fields to operate properly
Solution Approach 1:
The system performs self-service by automatically identifying form fields and matching them with wallet data without requiring user intervention for field identification or template selection. The processor autonomously captures the form image, identifies fillable fields, and populates them with corresponding data from the wallet.
Solution Approach 2:
The system performs preliminary action by pre-populating the wallet with form data before the form-filling operation. The wallet is prepared in advance with structured information that can be automatically matched to form fields during the filling process, eliminating the need for real-time user input or template matching.
2Ease of operation
If manual form filling is performed on mobile devices, then forms can be completed, but the process is tedious due to small display screens and limited keyboard entry capabilities
Solution Approach 1:
The system replaces the mechanical manual typing process with automated optical character recognition and data population. Instead of manually typing information into form fields using limited keyboard capabilities, the system captures the form image, automatically identifies fields, and populates them with data from the wallet, significantly reducing the time and effort required.
3Measurement precision
If form fields are manually identified and assigned to templates, then accurate form filling can be achieved, but the process requires user involvement and increases complexity
Solution Approach 1:
The system performs self-service by automatically identifying form fields and matching them with wallet data without requiring user intervention for field identification or template selection. The processor autonomously captures the form image, identifies fillable fields, and populates them with corresponding data from the wallet.
Solution Approach 2:
The system uses feedback by analyzing the captured form image to automatically identify field boundaries, data types, and field purposes. The processor evaluates the form structure and uses this feedback to accurately match fields with corresponding data in the wallet, achieving precise field identification without user involvement.
Data Source
AI summary
A fill-in form document completion system includes a processing device, an image capturing device, and a document generation device. The image capturing device generates an image file of a printed form having at least one fill-in field that contains a handwritten symbol within a field boundary. The processing device will process the image file to identify a fill-in field on the printed form and the handwritten symbol that is contained within the identified fill-in field. The processing device will then retrieve a candidate value that corresponds to the identified handwritten symbol, insert the candidate value in the identified fill-in field, and cause the document generation device to generate a document comprising the form with the selected candidate value displayed in the identified fill-in field.